AI Security risk Manager

Overview

On Site
$70 - $80
Contract - W2
Contract - 12 Month(s)

Skills

Analytical Skill
Artificial Intelligence
Auditing
CISM
CISSP
Cloud Computing
Communication
ISO/IEC 27001:2005
Computer Science
Cyber Security
Data Governance
FFIEC
Finance
ISACA
IT Risk
IT Risk Management
Leadership
Machine Learning (ML)
Privacy
RMF
Reporting
Risk Management
Risk Management Framework
Sales
Software Development
Use Cases

Job Details

Job Description:

Key Responsibilities:
Identify, assess, and monitor risks associated with AI systems, including model integrity, adversarial attacks, data poisoning, and privacy concerns.
Design and implement controls to mitigate AI-related risks, including model validation, explainability, and secure data handling.
Ensure adherence to internal policies and external regulations (e.g., FFIEC, NIST AI RMF, EU AI Act).
Support audits and regulatory examinations related to AI and cybersecurity risk.
Develop key risk indicators (KRIs) and metrics to monitor AI security posture.
Provide regular reporting to senior leadership and risk committees on AI risk trends and mitigation efforts.
Stay current with emerging AI threats, technologies, and best practices.
Qualifications:
Bachelor s or Master s degree in Cybersecurity, Computer Science, Risk Management, or related field.
7+ years of experience in technology risk or cybersecurity, with at least 1-2 years focused on AI/ML systems.
Strong understanding of AI/ML lifecycle, model governance, and security implications.
Familiarity with financial industry regulations and risk frameworks (e.g., NIST, ISO 27001, COSO, FFIEC).
Experience with cloud platforms, data governance, and secure software development practices.
Excellent communication, analytical, and leadership skills.

Education/ Experience Required:

Bachelor s or Master s degree in Cybersecurity, Computer Science, Risk Management, or related field.

Preferred Certifications:
 CRISC, CISSP, CISM, or equivalent
AI-specific certifications (e.g., Certified AI Risk Management Professional)

  • Financial regulation experience preferred

Typical day in the Role/ Background required:

  • Handling all of the Governance insights
  • Contractor vendor Management
  • Designing and implementing AI risk controls
  • Specific to cybersecurity risk assessments
  • Cybersecurity AI use cases (Where are the Blockers? Etc )

Interview Process:

  • 1 round with Shanthi and a team member- looking to move quickly
  • Interview will be focused on the AI technology

Selling Points:

  • Assist in navigating an enterprise level organization into new AI space
  • Potential for long -term opportunity
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.